Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Abstract. Although humans are the ultimate “natural language generators”, the area of psycholinguistic modeling has been somewhat underrepresented in recent approaches to Natur...
Nodal network approaches are a common framework for considering water allocation in river basins. In this type of model framework, a river basin is represented as a series of node...
Rebecca A. Letcher, Barry F. W. Croke, Anthony J. ...
Abstract. Feature Models (FMs) are a key artifact for variability and commonality management in Software Product Lines (SPLs). In this context, the merging of FMs is being recogniz...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...